Martina Pelosi — accepted AI-conference papers

2026

Graph-Based Reinforcement Learning for Robot Decision Making in Collaborative Robotics

Martina Pelosi, Margherita Cosenza, Andrea Maria Zanchettin, Paolo Rocco

RA-L 2026

Human-Robot Collaboration (HRC) is increasingly becoming a core element in modern industrial automation, as it enables the flexibility needed to meet diverse and rapidly changing production demands. However, a key challenge lies in combining production efficiency and flexibility. Robot decision-maki

Cited by 0 Source ↗Scholar ↗

2023

Tactile based robotic skills for cable routing operations

Andrea Monguzzi, Martina Pelosi, Andrea Maria Zanchettin, Paolo Rocco

ICRA 2023poster

This paper proposes a set of tactile based skills to perform robotic cable routing operations for deformable linear objects (DLOs) characterized by considerable stiffness and constrained at both ends. In particular, tactile data are exploited to reconstruct the shape of the grasped portion of the DL…

Cited by 8 Source ↗Scholar ↗